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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 1906
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    INDEX
    Explanations

    names of individuals or entities

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -1.08
    ModLoader
    -0.88
    theless
    -0.81
    âĶĢâĶĢ
    -0.71
    ãĤ¸
    -0.68
    LCS
    -0.66
    UTERS
    -0.66
     FANTASY
    -0.65
    tumblr
    -0.65
    LEASE
    -0.64
    POSITIVE LOGITS
    zen
    0.88
    lett
    0.87
    inski
    0.83
    mann
    0.83
    strom
    0.82
    z
    0.81
    stad
    0.81
    beck
    0.81
    ham
    0.80
    itz
    0.78
    Activations Density 0.514%

    No Known Activations